Evidence map›Paper›PMID 28921655›Full record

ArticleMagnetic resonance in medicine2018

Fast dynamic ventilation MRI of hyperpolarized

Ozkan Doganay, Tahreema N Matin, Anthony Mcintyre, Brian Burns, Rolf F Schulte, Fergus V Gleeson, Daniel Bulte

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. UltrasensitiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Diffusion weighted hyperpolarizedMagnetic resonance in medicine · 2023
    Article
  5. Article
  6. Article
  7. In vivo methods and applications of xenon-129 magnetic resonance.Progress in nuclear magnetic resonance spectroscopy · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ozkan DoganayDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, United Kingdom.
Tahreema N MatinDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Road, Headington, OX3 7LE, United Kingdom.
Anthony McintyreDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Road, Headington, OX3 7LE, United Kingdom.
Brian BurnsDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, United Kingdom.
Rolf F SchulteGE Global Research, Munich, Germany.
Fergus V GleesonDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, United Kingdom.
Daniel BulteDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, United Kingdom.

Funding

Cancer Research UK
6 · The paper itself

Abstract

purposeTo develop and optimize a rapid dynamic hyperpolarized THEORY AND

methodsSpiral k-space trajectories were designed with the number of interleaves N

resultsDXeV images and numerical modelling of signal-time curves permitted the quantification of temporal and spatial resolutions for different numbers of spiral interleaves. The two-interleaved spiral (N

conclusionThe N

Indexed as

Administration, InhalationAdultComputer SimulationFemaleHumansImage Interpretation, Computer-AssistedLungMagnetic Resonance ImagingMalePhantoms, ImagingPulmonary Disease, Chronic ObstructiveXenon IsotopesXenon IsotopesCOPDdynamic MRIhyperpolarized 129Xek-space samplinglungsignal-time curvesspiral

Identifiers

PMID28921655
PMCPMC5836876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.